CN109345061B - Method and device for identifying authenticity of evidence based on block chain evidence storage - Google Patents

Method and device for identifying authenticity of evidence based on block chain evidence storage Download PDF

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CN109345061B
CN109345061B CN201810955485.8A CN201810955485A CN109345061B CN 109345061 B CN109345061 B CN 109345061B CN 201810955485 A CN201810955485 A CN 201810955485A CN 109345061 B CN109345061 B CN 109345061B
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evidence
electronic evidence
target
score
target electronic
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CN109345061A (en
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杨新颖
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Advanced New Technologies Co Ltd
Advantageous New Technologies Co Ltd
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Advanced New Technologies Co Ltd
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Priority to TW108108449A priority patent/TWI700606B/en
Priority to EP19853116.2A priority patent/EP3779816A4/en
Priority to PCT/CN2019/089000 priority patent/WO2020038036A1/en
Priority to SG11202010508VA priority patent/SG11202010508VA/en
Priority to US16/938,760 priority patent/US11551319B2/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/18Legal services; Handling legal documents
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating
    • G06F16/2379Updates performed during online database operations; commit processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G06F16/275Synchronous replication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/31Indexing; Data structures therefor; Storage structures
    • G06F16/316Indexing structures
    • G06F16/325Hash tables
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/02Payment architectures, schemes or protocols involving a neutral party, e.g. certification authority, notary or trusted third party [TTP]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Abstract

A method and device for identifying evidence authenticity based on block chain evidence storage are disclosed. And identifying the target electronic evidence, giving a higher authenticity reference score to the target electronic evidence when the target electronic evidence is determined to be stored by the at least one alternate block chain evidence storage platform, and giving a lower authenticity reference score to the target electronic evidence when the target electronic evidence is determined not to be stored by the at least one alternate block chain evidence storage platform. The authenticity reference score corresponding to the target electronic evidence is higher, which indicates that the identified target electronic evidence has higher trueness (trueness possibility) and lower possibility of being tampered.

Description

Method and device for identifying authenticity of evidence based on block chain evidence storage
Technical Field
The embodiment of the specification relates to the technical field of information, in particular to a method and a device for identifying evidence authenticity based on block chain evidence storage.
Background
At present, it is not easy for judicial personnel (such as judges and inspectors) to examine whether electronic evidence (which can be generated in an electronic form or in an electronic form of physical evidence) submitted by case-related persons is truly untrusted. Sometimes, a judicial staff may mistakenly identify the tampered electronic evidence as the real electronic evidence.
Based on this, there is a need for a method of identifying the authenticity of evidence to reduce the difficulty of judicial personnel reviewing the authenticity of electronic evidence.
Disclosure of Invention
In order to solve the problem that the difficulty of a judicial staff in reviewing the authenticity of electronic evidence is high, the embodiment of the specification provides a method and a device for identifying the authenticity of evidence based on block chain evidence storage, and the technical scheme is as follows:
according to the 1 st aspect of the embodiments of the present specification, there is provided a method for identifying authenticity of evidence based on block chain storage, including:
judging whether the target electronic evidence is stored by at least one alternative block chain evidence storage platform or not according to the target electronic evidence;
if the target electronic evidence is determined to be stored by at least one alternative block chain evidence storage platform, determining a first score as an authenticity reference score corresponding to the target electronic evidence;
if the target electronic evidence is determined not to be stored by the at least one alternate block chain evidence storage platform, determining a second score as an authenticity reference score corresponding to the target electronic evidence;
and the authenticity reference score corresponding to the target electronic evidence is positively correlated with the identified authenticity degree of the target electronic evidence, and the first score is larger than the second score.
According to the 2 nd aspect of the embodiments of the present specification, there is provided an apparatus for identifying authenticity of evidence based on block chain deposit evidence, including:
the judging module is used for judging whether the target electronic evidence is stored by at least one alternative block chain evidence storing platform or not according to the target electronic evidence;
the first processing module is used for determining a first score as an authenticity reference score corresponding to the target electronic evidence if the judging module determines that the target electronic evidence is stored by at least one alternate block chain evidence storage platform;
the second processing module is used for determining a second score as an authenticity reference score corresponding to the target electronic evidence if the judging module determines that the target electronic evidence is not stored by the at least one alternate block chain evidence storage platform;
and the authenticity reference score corresponding to the target electronic evidence is positively correlated with the identified authenticity degree of the target electronic evidence, and the first score is larger than the second score.
The technical scheme provided by the embodiment of the specification identifies the target electronic evidence, gives a higher authenticity reference score to the target electronic evidence when the target electronic evidence is determined to be stored by at least one alternative block chain evidence storage platform, and gives a lower authenticity reference score to the target electronic evidence when the target electronic evidence is determined not to be stored by the at least one alternative block chain evidence storage platform. The authenticity reference score corresponding to the target electronic evidence is higher, which indicates that the identified target electronic evidence has higher trueness (trueness possibility) and lower possibility of being tampered. The electronic evidence stored by the block chain evidence storage platform often has the characteristic of being not falsifiable, and the authenticity reference score corresponding to the electronic evidence is made according to whether the electronic evidence is stored by the block chain evidence storage platform or not, so that the difficulty of a judicial staff for checking the authenticity of the electronic evidence can be obviously reduced by taking the authenticity reference score corresponding to the electronic evidence as a reference.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of embodiments of the invention.
In addition, any one of the embodiments in the present specification is not required to achieve all of the effects described above.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present specification, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic flowchart of a method for identifying authenticity of evidence based on block chain storage provided in an embodiment of the present specification;
fig. 2 is a schematic flowchart of a method for identifying authenticity of evidence of two parties based on block chain deposit evidence provided in an embodiment of the present specification;
fig. 3 is a schematic structural diagram of an apparatus for identifying evidence authenticity based on block chain storage provided in an embodiment of the present specification;
fig. 4 is a schematic structural diagram of an apparatus for identifying authenticity of evidence of two parties based on block chain deposit evidence provided in an embodiment of the present specification;
FIG. 5 is a schematic diagram of a computer device for configuring the methods of the embodiments of the present description.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present specification, the technical solutions in the embodiments of the present specification will be described in detail below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of protection.
The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a method for identifying authenticity of evidence based on block chain storage provided in an embodiment of the present specification, including the following steps:
s100: and judging whether the target electronic evidence is stored by at least one alternative block chain evidence storage platform or not for the target electronic evidence, executing the step S102 if the target electronic evidence is determined to be stored by the at least one alternative block chain evidence storage platform, and executing the step S104 if the target electronic evidence is determined not to be stored by the at least one alternative block chain evidence storage platform.
The executing subject of the method may be a device (herein referred to as an identification device) managed by a subject (e.g. a court) who needs to identify the authenticity of the electronic proof. More specifically, in practice, the recognition device may be an online case acceptance system of a court, the online case acceptance system accepts a case online, recognizes the authenticity of the electronic evidence related to the case, and provides the recognition result (authenticity reference score corresponding to the electronic evidence) to a judge for reference by the judge.
It should be noted that the electronic evidence described herein may be generated electronically (e.g., a web page) or in the form of physical evidence (e.g., a photo of a loaned paper). It should be further noted that the target electronic evidence refers to the electronic evidence of authenticity to be identified, which may be the evidence provided by the prosecution of the case, and the electronic evidence provided by other related persons (such as investigators, e.g. persons related to the benefit of the case) of the case.
In the embodiment of the present specification, the blockchain evidence storing platform is a service mechanism for storing evidence of data uploaded by a user based on a blockchain technology. The user can utilize the block chain to deposit the evidence platform, and the electronic evidence that will need to be preserved is deposited the evidence. Generally, the blockchain evidence storage platform realizes the storage of the electronic evidence through a data structure of transaction in a blockchain network.
It should be noted that the transaction (transaction) described in this specification refers to a piece of data that is created by a client of the blockchain and needs to be finally published to the distributed database of the blockchain. That is, there are narrow and broad categories of transactions in the blockchain. A narrowly defined transaction refers to a transfer of value issued by a user to a blockchain; for example, in a conventional bitcoin blockchain network, the transaction may be a transfer initiated by the user in the blockchain. The broad transaction refers to a piece of business data with business intention, which is issued to the blockchain by a user; for example, an operator may build a federation chain based on actual business requirements, relying on the federation chain to deploy some other types of online business unrelated to value transfer (e.g., a rental house business, a vehicle dispatching business, an insurance claim settlement business, a credit service, a medical service, etc.), and in such federation chain, the transaction may be a business message or a business request with a business intent issued by a user in the federation chain.
Specifically, the blockchain evidence storing platform can be used as a node in a blockchain network, when electronic evidence uploaded by a user is received, a transaction including an evidence hash of the electronic evidence (of course, the electronic evidence itself can also be included) can be constructed, and the constructed transaction is broadcasted to the blockchain network, so that each node stores the transaction in its own blockchain based on a consensus mechanism, and thus, multi-party evidence storing of the electronic evidence is realized. When the transaction only contains the evidence hash of the electronic evidence, the evidence hash of the electronic evidence is already issued to the blockchain, so that if the electronic evidence is tampered, the evidence hash of the tampered electronic evidence is inconsistent with the evidence hash issued in the blockchain, and therefore, the fact that the evidence hash of the electronic evidence is issued to the blockchain is equivalent to the fact that the electronic evidence is certified by multiple parties. It should also be noted that when a transaction includes only a hash of evidence of electronic evidence, the blockchain evidence storage platform typically stores the electronic evidence in a data repository (non-blockchain).
In addition, the block chain evidence storing platform can also be based on a public evidence (factor) framework, and provides electronic evidence storing service for users.
In the embodiment of the present specification, several block chain credit platforms in the market may be designated as alternative block chain credit platforms. For example, the court can select a plurality of block chain evidence storing platforms as alternative block chain evidence storing platforms from the block chain evidence storing platforms on the market, and establish a cooperative relationship with the alternative block chain evidence storing platforms, and the case online acceptance system of the court can be in butt joint with the servers of the alternative block chain evidence storing platforms.
In this embodiment of the present specification, the ways for the identification device to determine whether the target electronic evidence has been stored by the at least one alternative block chain evidence storage platform include at least the following four ways:
1. acquiring a target electronic evidence uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform to determine whether any transaction of the alternative block chain evidence storing platform evidence storing contains the target electronic evidence; if yes, determining that the target electronic evidence is stored by the alternate block chain evidence storage platform; otherwise, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform. The user uploading the target electronic evidence can be the original party, the complaint party or other related personnel of the case.
2. Acquiring a target electronic evidence uploaded by a user; calculating the evidence hash of the target electronic evidence according to the target electronic evidence; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the evidence hash so as to determine whether any transaction of the alternative block chain evidence storing platform evidence storing comprises the evidence hash; if yes, determining that the target electronic evidence is stored by the alternate block chain evidence storage platform; otherwise, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform. The user uploading the target electronic evidence can be the original party, the complaint party or other related personnel of the case.
In the modes 1 and 2, the user needs to upload the target electronic evidence to the identification device, if the target electronic evidence is indirectly stored in the form of evidence hash, the identification device can calculate the evidence hash of the electronic evidence and verify each candidate block chain evidence storage platform by taking the calculated evidence hash as a clue so as to judge whether the target electronic evidence is really stored by at least one candidate block chain evidence storage platform; if the target electronic evidence is directly credited, the identification device may directly verify to each alternate blockchain credentialing platform whether the target electronic evidence has been issued to the blockchain.
3. Acquiring a target transaction hash uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform; if yes, taking the transaction hash as the target transaction, determining the electronic evidence of the target transaction deposit certificate as the target electronic evidence, and determining that the target electronic evidence is deposited by the alternate block chain deposit certificate platform; and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
The user uploading the target transaction hash can be the original party, the compliant party or other related personnel of the case. The target transaction hash is a transaction hash of the target transaction, and the target transaction is a transaction that includes an evidence hash of the target electronic evidence.
In mode 3, the user may upload the target transaction hash to the identification device without uploading the target electronic evidence. The identification equipment inquires a target transaction corresponding to the target transaction hash on each alternative block chain evidence storing platform according to the target transaction hash, if the target transaction cannot be inquired, the target transaction hash is determined to be invalid, and then the target electronic evidence is proved not to be stored by at least one alternative block chain evidence storing platform; if the target transaction is inquired, the electronic evidence of the target transaction deposit certificate is the target electronic evidence.
Further, if the target electronic evidence itself is contained in the target transaction stored in the blockchain, the target electronic evidence can be directly extracted from the target transaction; if the target transaction of the blockchain storage contains the evidence hash of the target electronic evidence, the evidence hash can be taken as a clue to other approaches (such as a data warehouse).
4. Acquiring target electronic evidence and target transaction hash uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the target transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform; if yes, taking the transaction hash as the target transaction, judging whether the electronic evidence of the target transaction certificate is the same as the target electronic evidence, if yes, determining that the target electronic evidence is already stored by the alternate block chain certificate storage platform, and if not, determining that the target electronic evidence is not stored by the alternate block chain certificate storage platform; and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
In approach 4, the user may upload the target electronic proof and the target transaction hash to the identification device. As described above, the target electronic evidence is issued to the blockchain through the data structure of the target transaction, and the target transaction may include the electronic evidence itself or only the evidence hash of the target electronic evidence. Based on this, in the method 4, it is determined whether the electronic evidence of the target transaction evidence is the same as the target electronic evidence, specifically, the evidence hash of the electronic evidence of the target transaction evidence can be calculated, the evidence hash of the target electronic evidence can be calculated, the two calculated evidence hashes are compared to determine whether the two calculated evidence hashes are the same, and if the two calculated evidence hashes are the same, the target electronic evidence can be determined to have been stored by the candidate block chain evidence storage platform.
In summary, in step S100, the identification device may determine whether the target electronic evidence is certified by at least one alternative block chain certification platform in various ways, and identify the trueness (i.e. trueness possibility) of the target electronic evidence according to the target electronic evidence.
If the target electronic evidence is not certified by any alternative block chain certification storing platform, the fact that the true degree of the target electronic evidence is unknown and doubtful and possibly tampered is meant; if the target electronic evidence is already stored by at least one alternative block chain storage platform, the fact that the trueness degree of the target electronic evidence is high and the possibility of being tampered is low is meant.
S102: and determining a first score as a authenticity reference score corresponding to the target electronic evidence.
S104: and determining a second score as a authenticity reference score corresponding to the target electronic evidence.
In the embodiment of the specification, the concept of authenticity reference score is introduced to quantify the trueness degree of the electronic evidence, and the higher the trueness degree of the target electronic evidence identified by the identification device is, the higher the authenticity reference score is correspondingly given to the target electronic evidence. Specifically, the authenticity reference score may be a percentage, and assuming that the authenticity reference score corresponding to the target electronic evidence is 90, it means that the probability that the identification device considers that the target electronic evidence is not really tampered is 90%.
If the target electronic evidence is not credited by any alternate blockchain crediting platform, a higher authenticity reference score (i.e., a first score) is given for the target electronic evidence, and if the target electronic evidence is credited by at least one alternate blockchain crediting platform, a lower authenticity reference score (i.e., a second score) is given for the target electronic evidence. That is, the first score is greater than the second score.
By the method shown in fig. 1, the authenticity reference score corresponding to the target electronic evidence is higher, which indicates that the identified target electronic evidence has a higher authenticity degree (authenticity probability) and a lower possibility of being tampered. The electronic evidence stored by the block chain evidence storage platform often has the characteristic of being not falsifiable, and the authenticity reference score corresponding to the electronic evidence is made according to whether the electronic evidence is stored by the block chain evidence storage platform or not, so that the difficulty of a judicial staff for checking the authenticity of the electronic evidence can be obviously reduced by taking the authenticity reference score corresponding to the electronic evidence as a reference.
In addition, in the embodiment of the present specification, a plurality of gate classes may be set, and for each gate class, a scoring rule corresponding to the gate class may be set. According to different cases involved by the electronic evidence, corresponding door classes can be set, such as the following door classes: 1. network copyright case-issue right; 2. criminal case-fraud; 3. contract dispute case-breach.
The gate classes can also be set according to different evidence types, such as the following gate classes: 1. audiovisual evidence-web screenshots; 2. textual evidence-word documents.
According to the different cases involved in the electronic evidence and the different evidence types, the gate classes can be set, such as the following gate classes: 1. (web copyright case-issue right, audiovisual evidence-web screenshot); 2. (criminal case-fraud, textual evidence-word document).
Then, in step S102, the gate class to which the target electronic proof belongs may be determined as a target gate class; and determining a first score according to a scoring rule corresponding to the target gate class. In step S104, a gate class to which the target electronic evidence belongs may be determined as a target gate class; and determining a second score according to the scoring rule corresponding to the target gate class.
The scoring rules for different gate classes are different, which means that even if the same electronic proof belongs to different gate classes, the resulting authenticity reference scores may be different. For example, there are categories: 1. network copyright case-issue right; 2. criminal case-fraud; the scoring rule corresponding to the door class 1 is loose, the scoring rule corresponding to the door class 2 is strict, the target electronic evidence is assumed to be a section of recording, the recording is stored in a certain alternative block chain storage platform, if the section of recording is classified as the door class 1, the authenticity reference score obtained by the section of recording is possibly 99 points, and if the section of recording is classified as the door class 2, the authenticity reference score obtained by the section of recording is possibly 80 points.
Furthermore, a plurality of score intervals corresponding to the gate class can be set in advance for each gate class, and an authenticity reference level corresponding to each score interval corresponding to the gate class is set; for any two score intervals, the authenticity reference grade corresponding to the score interval with the larger left-end point value (or the right-end point value) is higher, that is, the authenticity reference grade corresponding to the score interval with the larger left-end point value is higher than the authenticity reference grade corresponding to the score interval with the smaller left-end point value. Generally, there is no overlap between score intervals. For example, assuming that the authenticity reference score is a percentile system, for a certain gate, 0,100 may be split into several score intervals, i.e., [0, 40 ], [40, 80 ], [80,100], as the score interval corresponding to the gate. Then, at each score interval corresponding to the gate class, a respective authenticity reference level is set, for example, [0, 40) for an authenticity level of level 1, [40, 80) for a level 2, and [80,100] for an authenticity level of level 3.
Based on this, after obtaining the authenticity reference score corresponding to the target electronic evidence, an evidence gate class to which the target electronic evidence belongs can be determined as a target evidence gate class; then determining a score interval in which the authenticity reference score corresponding to the target electronic evidence falls in the score interval corresponding to the target gate class as a target score interval; and determining the authenticity reference grade corresponding to the target score interval as the authenticity reference grade corresponding to the target electronic evidence.
Furthermore, in the embodiment of the present specification, the scoring rule and/or the score interval corresponding to a certain gate may also be adjusted according to the final result of determining the authenticity of the electronic evidence in the judicial program.
Specifically, for any door class, for each electronic evidence belonging to the door class, acquiring an authenticity credibility level corresponding to the electronic evidence; the authenticity credibility level corresponding to the electronic evidence is determined by a judicial program; screening out electronic evidences with the authenticity reference level inconsistent with the authenticity credibility level from the electronic evidences belonging to the door class to serve as designated electronic evidences; if the proportion of the appointed electronic evidence in the electronic evidence belonging to the gate is larger than the appointed proportion, the grading rule and/or the score interval corresponding to the gate is adjusted according to the authenticity credibility grade corresponding to each appointed electronic evidence, so that the authenticity reference grade corresponding to the appointed electronic evidence obtained according to the regulated grading rule and/or score interval corresponding to the gate is consistent with the authenticity credibility grade corresponding to the appointed electronic evidence.
For example, after the case online acceptance system operates for a period of time, authenticity identification is successively performed on 100 electronic proofs belonging to the gate class 1, and authenticity reference levels corresponding to the 100 electronic proofs are obtained. After the 100 electronic evidences are submitted to the court in succession, the court confirms the authenticity credibility grades corresponding to the 100 electronic evidences respectively through a judicial program, wherein 25 electronic evidences (designated electronic evidences) with the authenticity reference grades inconsistent with the authenticity credibility grades account for 25 percent and are more than 20 percent (designated proportion), and then the case online acceptance system can adjust the scoring rules and/or score intervals corresponding to the gate 1 according to the 25 percent, so that the authenticity reference grade corresponding to the designated electronic evidence is obtained according to the adjusted scoring rules and/or score intervals and is consistent with the authenticity credibility grade corresponding to the designated electronic evidence.
In addition, in an embodiment of the present specification, if it is determined that the target electronic evidence is not stored by any candidate block chain evidence storage platform, it may be further determined whether the target electronic evidence is already stored by a non-candidate block chain evidence storage platform specified by a user, if so, a third score corresponding to the target electronic evidence is determined to be used as an authenticity reference score corresponding to the target electronic evidence, otherwise, a second score corresponding to the target electronic evidence is determined to be used as an authenticity reference score corresponding to the target electronic evidence. Wherein the third score is greater than the second score and the third score is less than the first score.
That is, if the target electronic evidence is not certified by any alternate blockchain certification platform but certified by a non-alternate blockchain certification platform (which is not docked with the identification device in advance), the authenticity of the target electronic evidence can be acknowledged to some extent.
Further, in step S104, the specified score may be determined as the second score, or a score larger than the specified score may be determined as the second score when it is determined that the specified condition is satisfied.
Wherein, determining that the specified conditions are met specifically means: determining the electronic evidence which is most similar to the target electronic evidence in the electronic evidence stored in the candidate block chain platform aiming at each candidate block chain evidence storage platform as the similar electronic evidence corresponding to the target electronic evidence; calculating the similarity between the target electronic evidence and the similar electronic evidence to serve as the similarity corresponding to the target electronic evidence; the greater the similarity corresponding to the target electronic evidence is, the more similar the target electronic evidence is to the similar electronic evidence; selecting the maximum similarity from the similarities corresponding to the target electronic evidence to serve as the maximum similarity; and if the maximum similarity is greater than the specified similarity, determining that the specified condition is met.
It should be noted here that, in practice, sometimes the version of the electronic evidence uploaded to the block chain evidence storing platform by the user for storing the evidence is an original version (referred to as original electronic evidence), and then the latest version (latest electronic evidence) of the electronic evidence provided by the user to the identification device is often similar to the latest electronic evidence but has a certain difference, so that when the identification device verifies and identifies the authenticity of the latest electronic evidence, it is determined that the latest electronic evidence is not stored by any alternative block chain evidence storing platform. To avoid this, if the target electronic evidence is not certified by any alternative blockchain certification platform, but is similar to some electronic evidence already certified, the authenticity reference score corresponding to the target electronic evidence may be determined as a higher score (but should be smaller than the first score).
Fig. 2 is a method for identifying authenticity of evidence of two parties based on block chain storage, which is provided by an embodiment of the present specification, and includes the following steps:
s200: and receiving case event information uploaded by the original party of the case.
S202: and determining authenticity reference scores corresponding to the complaint evidences through the target process.
S204: and sending the case event information and the evidence of initiating complaint to a complaint party of the case.
S206: and when the evidence of the complaint exists, determining the authenticity reference score corresponding to the evidence of the complaint through the target process.
The main body of the method may be the above-mentioned identification device, and specifically, may be the above-mentioned case online acceptance system.
As is well known in the judicial arts, evidence is often raised for a case event in a case to confirm or prove the occurrence of the case event.
In the embodiment of the present specification, the prosecution party can be a foretell in a civil case, a public prosecution party, a victim or a victim relative in a criminal case. The complaint party can be a defendant in a civil case, a criminal suspect in a criminal case or a criminal suspect relative.
In the method shown in fig. 2, the complaint evidence is an electronic evidence proposed by the complaint party for confirming the case event information, and the complaint evidence is an electronic evidence proposed by the complaint party for confirming the case event information.
In the method shown in fig. 2, the target process is actually the method process shown in fig. 1, and the description of the target process can be referred to above and is not repeated.
With the method shown in fig. 2, for a certain case event that the initiating party of the case claims to be actually occurred, on one hand, the initiating evidence proposed by the initiating party for confirming the case event is identified through the target process, and on the other hand, the complaint evidence proposed by the initiating party for confirming the case event is identified through the target process. The target process comprises the steps of identifying a target electronic evidence (a prosecution evidence or a complaint evidence), giving a higher authenticity reference score to the target electronic evidence when the target electronic evidence is confirmed to be deposited by at least one alternative block chain deposit evidence platform, and giving a lower authenticity reference score to the target electronic evidence when the target electronic evidence is confirmed to be not deposited by the at least one alternative block chain deposit evidence platform. The authenticity reference score corresponding to the target electronic evidence is higher, which indicates that the identified target electronic evidence has higher trueness (trueness possibility) and lower possibility of being tampered. The electronic evidence stored by the block chain evidence storage platform often has the characteristic of being not falsifiable, and the authenticity reference score corresponding to the electronic evidence is made according to whether the electronic evidence is stored by the block chain evidence storage platform or not, so that the difficulty of a judicial staff for checking the authenticity of the electronic evidence can be obviously reduced by taking the authenticity reference score corresponding to the electronic evidence as a reference.
In addition, in the method shown in fig. 2, the authenticity reference score corresponding to the evidence of prosecution may be corrected according to the presence or absence of the evidence of complaint and the authenticity reference score corresponding to the evidence of complaint.
Specifically, when it is determined that there is no evidence of complaint, the authenticity reference score corresponding to the evidence of complaint may be adjusted up. Of course, when the authenticity reference score corresponding to the evidence of prosecution is already full, it is virtually impossible to continue the adjustment up. Therefore, in practice, when it is determined that there is no evidence of complaint and the authenticity reference score corresponding to the evidence of complaint does not reach the full score, the authenticity reference score corresponding to the evidence of complaint is increased.
It should be noted that the complaint party does not provide an electronic evidence for proving the case event information for the case event information, which means that the complaint party is likely to default that the case event information is authentic, and in this case, the authenticity reference score corresponding to the complaint evidence is increased, so that the difficulty of the judicial staff in examining the authenticity of the electronic evidence can be further reduced.
In addition, when the evidence of the complaint is determined to exist, whether the authenticity reference score corresponding to the evidence of the complaint meets a preset correction triggering condition can be judged, and if yes, the authenticity reference score corresponding to the evidence of the complaint is corrected.
Further, when the correction triggering condition is that the authenticity reference score corresponding to the complaint evidence is greater than a first specified threshold, the authenticity reference score corresponding to the complaint evidence can be reduced; when the correction triggering condition is that the authenticity reference score corresponding to the complaint evidence is smaller than a second specified threshold, the authenticity reference score corresponding to the complaint evidence can be increased; wherein the first specified threshold is greater than the second specified threshold.
That is, when the authenticity reference score corresponding to the evidence of complaint is too large, the authenticity of the evidence of complaint is indirectly weakened, and therefore, the authenticity reference score corresponding to the evidence of complaint can be reduced. Specifically, the authenticity reference score corresponding to the evidence of prosecution may be adjusted down, so that the authenticity reference grade corresponding to the evidence of prosecution is reduced.
That is, when the authenticity reference score corresponding to the evidence of complaint is too small, the authenticity of the evidence of complaint is indirectly enhanced, and therefore, the authenticity reference score corresponding to the evidence of complaint can be increased. Specifically, the authenticity reference score corresponding to the evidence of prosecution may be increased, so that the authenticity reference grade corresponding to the evidence of prosecution is increased.
Based on the method for identifying evidence authenticity based on block chain evidence, as shown in fig. 1, embodiments of the present specification further provide an apparatus for identifying evidence authenticity based on block chain evidence, as shown in fig. 3, including:
the judging module 301 judges whether the target electronic evidence is stored by at least one alternative block chain evidence storing platform for the target electronic evidence;
a first processing module 302, configured to determine a first score as an authenticity reference score corresponding to the target electronic evidence if the determining module 301 determines that the target electronic evidence has been stored by at least one candidate block chain storage platform;
a second processing module 303, configured to determine a second score as an authenticity reference score corresponding to the target electronic evidence if the determining module 301 determines that the target electronic evidence is not stored by the at least one candidate block chain certificate storage platform;
and the authenticity reference score corresponding to the target electronic evidence is positively correlated with the identified authenticity degree of the target electronic evidence, and the first score is larger than the second score.
The judging module 301 obtains a target electronic evidence uploaded by a user; calculating the evidence hash of the target electronic evidence according to the target electronic evidence; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the evidence hash so as to determine whether any transaction of the alternative block chain evidence storing platform evidence storing comprises the evidence hash; if yes, determining that the target electronic evidence is stored by the alternate block chain evidence storage platform; otherwise, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
The judging module 301 obtains a target transaction hash uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform; if yes, taking the transaction hash as the target transaction, determining the electronic evidence of the target transaction deposit certificate as the target electronic evidence, and determining that the target electronic evidence is deposited by the alternate block chain deposit certificate platform; and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
The judging module 301 obtains a target electronic evidence and a target transaction hash uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the target transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform; if yes, taking the transaction hash as the target transaction, judging whether the electronic evidence of the target transaction certificate is the same as the target electronic evidence, if yes, determining that the target electronic evidence is already stored by the alternate block chain certificate storage platform, and if not, determining that the target electronic evidence is not stored by the alternate block chain certificate storage platform; and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
Presetting a plurality of gate classes, and setting a scoring rule corresponding to each gate class;
the first processing module 302, determining a gate class to which the target electronic evidence belongs, as a target gate class; determining a first score or a second score according to a scoring rule corresponding to the target gate class;
the second processing module 303 determines a gate class to which the target electronic evidence belongs, as a target gate class; and determining a second score according to the scoring rule corresponding to the target gate class.
Setting a plurality of score intervals corresponding to each gate class in advance, and setting authenticity reference levels corresponding to the score intervals for each score interval corresponding to the gate class; aiming at any two score intervals, the authenticity reference grade corresponding to the score interval with the larger left-end point value is higher;
the device further comprises:
the grade evaluation module 304 is used for determining a score interval into which the authenticity reference score corresponding to the target electronic evidence falls in the score interval corresponding to the target gate class as a target score interval; and determining the authenticity reference grade corresponding to the target score interval as the authenticity reference grade corresponding to the target electronic evidence so that the authenticity reference grade corresponding to the specified electronic evidence is consistent with the authenticity credibility grade corresponding to the specified electronic evidence according to the adjusted grading rule corresponding to the gate and/or the score interval.
The device further comprises: the adjusting module 305 acquires, for any door class, an authenticity credibility level corresponding to each electronic evidence belonging to the door class; the authenticity credibility level corresponding to the electronic evidence is determined by a judicial program; screening out electronic evidences with the authenticity reference level inconsistent with the authenticity credibility level from the electronic evidences belonging to the door class to serve as designated electronic evidences; and if the proportion of the specified electronic evidence in the electronic evidence belonging to the gate is greater than the specified proportion, adjusting the scoring rule and/or the score interval corresponding to the gate according to the authenticity credibility grade corresponding to each specified electronic evidence.
The second processing module 303 determines whether the target electronic evidence is stored by a non-alternative block chain evidence storage platform specified by the user; if so, determining a third score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence; otherwise, determining a second score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence; wherein the third score is greater than the second score and the third score is less than the first score.
The second processing module 303, determining the designated score as a second score; or when determining that a specified condition is satisfied, determining a score larger than the specified score as a second score;
determining that a specified condition is met, specifically comprising:
determining the electronic evidence which is most similar to the target electronic evidence in the electronic evidence stored in the candidate block chain platform aiming at each candidate block chain evidence storage platform as the similar electronic evidence corresponding to the target electronic evidence;
calculating the similarity between the target electronic evidence and the similar electronic evidence to serve as the similarity corresponding to the target electronic evidence; the greater the similarity corresponding to the target electronic evidence is, the more similar the target electronic evidence is to the similar electronic evidence;
selecting the maximum similarity from the similarities corresponding to the target electronic evidence to serve as the maximum similarity;
and if the maximum similarity is greater than the specified similarity, determining that the specified condition is met.
Based on the method for identifying authenticity of evidence of both parties based on block chain deposit certificate shown in fig. 2, an embodiment of the present specification further provides a device for identifying authenticity of evidence of both parties based on block chain deposit certificate, as shown in fig. 4, including:
the receiving module 401 receives case event information uploaded by a case initiator;
the complaint-initiating evidence identification module 402 determines authenticity reference scores corresponding to the complaint-initiating evidence through a target process; the case event information is provided by the case event information providing party;
a sending module 403, configured to send the case event information and the evidence of prosecution to a party of case;
a complaint evidence identification module 404, configured to determine, through the target process, an authenticity reference score corresponding to the complaint evidence when the complaint evidence is determined to exist; the complaint evidence is provided by the complaint party and is used for proving an electronic evidence of the case event information;
wherein the target process comprises:
judging whether the target electronic evidence is stored by at least one alternative block chain evidence storage platform or not according to the target electronic evidence; the target electronic evidence is the prosecution evidence or the complaint evidence;
if the target electronic evidence is determined to be stored by at least one alternative block chain evidence storage platform, determining a first score as an authenticity reference score corresponding to the target electronic evidence;
if the target electronic evidence is determined not to be stored by the at least one alternate block chain evidence storage platform, determining a second score as an authenticity reference score corresponding to the target electronic evidence;
and the authenticity reference score corresponding to the target electronic evidence is positively correlated with the identified authenticity degree of the target electronic evidence, and the first score is greater than the second score.
For a target electronic evidence, judging whether the target electronic evidence is stored by at least one alternate block chain evidence storage platform, specifically comprising:
acquiring a target electronic evidence uploaded by a user;
calculating the evidence hash of the target electronic evidence according to the target electronic evidence;
for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the evidence hash so as to determine whether any transaction of the alternative block chain evidence storing platform evidence storing comprises the evidence hash;
if yes, determining that the target electronic evidence is stored by the alternate block chain evidence storage platform;
otherwise, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
For a target electronic evidence, judging whether the target electronic evidence is stored by at least one alternate block chain evidence storage platform, specifically comprising:
acquiring a target transaction hash uploaded by a user;
for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform;
if yes, taking the transaction hash as the target transaction, determining the electronic evidence of the target transaction deposit certificate as the target electronic evidence, and determining that the target electronic evidence is deposited by the alternate block chain deposit certificate platform;
and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
For a target electronic evidence, judging whether the target electronic evidence is stored by at least one alternate block chain evidence storage platform, specifically comprising:
acquiring target electronic evidence and target transaction hash uploaded by a user;
for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the target transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform;
if yes, taking the transaction hash as the target transaction, judging whether the electronic evidence of the target transaction certificate is the same as the target electronic evidence, if yes, determining that the target electronic evidence is already stored by the alternate block chain certificate storage platform, and if not, determining that the target electronic evidence is not stored by the alternate block chain certificate storage platform;
and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
Presetting a plurality of gate classes, and setting a scoring rule corresponding to each gate class;
determining a first score or a second score, specifically comprising:
determining a gate class to which the target electronic evidence belongs as a target gate class;
and determining a first score or a second score according to the scoring rule corresponding to the target gate class.
Setting a plurality of score intervals corresponding to each gate class in advance, and setting authenticity reference levels corresponding to the score intervals for each score interval corresponding to the gate class; aiming at any two score intervals, the authenticity reference grade corresponding to the score interval with the larger left-end point value is higher;
the target process further comprises:
determining a score interval in which the authenticity reference score corresponding to the target electronic evidence falls in the score interval corresponding to the target gate class as a target score interval;
and determining the authenticity reference grade corresponding to the target score interval as the authenticity reference grade corresponding to the target electronic evidence.
The target process further comprises:
for any door
Aiming at each electronic evidence belonging to the gate class, acquiring an authenticity credibility level corresponding to the electronic evidence; the authenticity credibility level corresponding to the electronic evidence is determined by a judicial program;
screening out electronic evidences with the authenticity reference level inconsistent with the authenticity credibility level from the electronic evidences belonging to the door class to serve as designated electronic evidences;
if the proportion of the appointed electronic evidence in the electronic evidence belonging to the gate is larger than the appointed proportion, the grading rule and/or the score interval corresponding to the gate is adjusted according to the authenticity credibility grade corresponding to each appointed electronic evidence, so that the authenticity reference grade corresponding to the appointed electronic evidence obtained according to the regulated grading rule and/or score interval corresponding to the gate is consistent with the authenticity credibility grade corresponding to the appointed electronic evidence.
Determining a second score as a authenticity reference score corresponding to the target electronic evidence, specifically including:
judging whether the target electronic evidence is stored by a non-alternative block chain evidence storage platform appointed by a user;
if so, determining a third score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence;
otherwise, determining a second score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence;
wherein the third score is greater than the second score and the third score is less than the first score.
Determining a second score, specifically comprising:
determining the specified score as a second score;
or
Determining a score larger than the designated score as a second score when it is determined that a designated condition is satisfied;
determining that a specified condition is met, specifically comprising:
determining the electronic evidence which is most similar to the target electronic evidence in the electronic evidence stored in the candidate block chain platform aiming at each candidate block chain evidence storage platform as the similar electronic evidence corresponding to the target electronic evidence;
calculating the similarity between the target electronic evidence and the similar electronic evidence to serve as the similarity corresponding to the target electronic evidence; the greater the similarity corresponding to the target electronic evidence is, the more similar the target electronic evidence is to the similar electronic evidence;
selecting the maximum similarity from the similarities corresponding to the target electronic evidence to serve as the maximum similarity;
and if the maximum similarity is greater than the specified similarity, determining that the specified condition is met.
The device further comprises:
the first correction module 405, if it is determined that the evidence of complaint does not exist, increases the authenticity reference score corresponding to the evidence of complaint.
The device further comprises:
and a second correcting module 406, configured to correct the authenticity reference score corresponding to the complaint evidence if the authenticity reference score corresponding to the complaint evidence meets a preset correction triggering condition.
The second correcting module 406, when the correction triggering condition is that the authenticity reference score corresponding to the complaint evidence is greater than a first specified threshold, reduces the authenticity reference score corresponding to the complaint evidence; when the correction triggering condition is that the authenticity reference score corresponding to the complaint evidence is smaller than a second specified threshold value, the authenticity reference score corresponding to the complaint evidence is increased; wherein the first specified threshold is greater than the second specified threshold.
Embodiments of the present specification also provide a computer device including at least a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the functions of the method described in fig. 1 and/or fig. 2 when executing the program.
Fig. 5 is a schematic diagram illustrating a more specific hardware structure of a computing device according to an embodiment of the present disclosure, where the computing device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
Bus 1050 includes a path that transfers information between various components of the device, such as processor 1010, memory 1020, input/output interface 1030, and communication interface 1040.
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Embodiments of the present description also provide a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the functionality of the method described in fig. 1 and/or fig. 2.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
From the above description of the embodiments, it is clear to those skilled in the art that the embodiments of the present disclosure can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the embodiments of the present specification may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.
The systems, methods, modules or units described in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. A typical implementation device is a computer, which may take the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email messaging device, game console, tablet computer, wearable device, or a combination of any of these devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and device embodiments, since they are substantially similar to the method embodiments, they are described relatively simply, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described method embodiments are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the functions of the modules may be implemented in one or more software and/or hardware when implementing the embodiments of the present specification. And part or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing is only a specific embodiment of the embodiments of the present disclosure, and it should be noted that, for those skilled in the art, a plurality of modifications and decorations can be made without departing from the principle of the embodiments of the present disclosure, and these modifications and decorations should also be regarded as the protection scope of the embodiments of the present disclosure.

Claims (17)

1. A method for identifying evidence authenticity based on block chain evidence preservation designates at least two alternative block chain evidence preservation platforms in advance, the method comprises the following steps:
judging whether the target electronic evidence is stored by at least one alternative block chain evidence storage platform or not according to the target electronic evidence;
if the target electronic evidence is determined to be stored by at least one alternative block chain evidence storage platform, determining a first score as an authenticity reference score corresponding to the target electronic evidence;
if the target electronic evidence is determined not to be stored by the at least one alternative block chain evidence storage platform, determining a score larger than a specified score as a second score when the specified condition is determined to be met, and determining the specified score as the second score when the specified condition is determined not to be met, wherein the second score is used as an authenticity reference score corresponding to the target electronic evidence; the specified condition represents that the original electronic evidence inconsistent with the target electronic evidence version is stored by a candidate block chain evidence storage platform;
the authenticity reference score corresponding to the target electronic evidence is positively correlated with the identified authenticity degree of the target electronic evidence, and the first score is larger than the second score;
determining that a specified condition is satisfied, including: determining the electronic evidence which is most similar to the target electronic evidence in the electronic evidence stored in the candidate block chain platform aiming at each candidate block chain evidence storage platform as the similar electronic evidence corresponding to the target electronic evidence; calculating the similarity between the target electronic evidence and the similar electronic evidence to serve as the similarity corresponding to the target electronic evidence; the greater the similarity corresponding to the target electronic evidence, the more similar the target electronic evidence is to the similar electronic evidence; selecting the maximum similarity from the similarities corresponding to the target electronic evidence to serve as the maximum similarity; and if the maximum similarity is greater than the specified similarity, determining that the specified condition is met.
2. The method according to claim 1, wherein the step of determining whether the target electronic evidence is certified by at least one alternate block chain certification platform comprises:
acquiring a target electronic evidence uploaded by a user;
calculating the evidence hash of the target electronic evidence according to the target electronic evidence;
for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the evidence hash so as to determine whether any transaction of the alternative block chain evidence storing platform evidence storing comprises the evidence hash;
if yes, determining that the target electronic evidence is stored by the alternate block chain evidence storage platform;
otherwise, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
3. The method according to claim 1, wherein the step of determining whether the target electronic evidence is certified by at least one alternate block chain certification platform comprises:
acquiring a target transaction hash uploaded by a user;
for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform;
if yes, taking the transaction hash as the target transaction, determining the electronic evidence of the target transaction deposit certificate as the target electronic evidence, and determining that the target electronic evidence is deposited by the alternate block chain deposit certificate platform;
and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
4. The method according to claim 1, wherein the step of determining whether the target electronic evidence is certified by at least one alternate block chain certification platform comprises:
acquiring target electronic evidence and target transaction hash uploaded by a user;
for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the target transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform;
if yes, taking the transaction hash as the target transaction, judging whether the electronic evidence of the target transaction certificate is the same as the target electronic evidence, if yes, determining that the target electronic evidence is already stored by the alternate block chain certificate storage platform, and if not, determining that the target electronic evidence is not stored by the alternate block chain certificate storage platform;
and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
5. The method of claim 1, presetting a plurality of gate classes, and setting a scoring rule corresponding to each gate class;
determining a first score, specifically comprising:
determining a gate class to which the target electronic evidence belongs as a target gate class;
determining a first score according to a scoring rule corresponding to the target gate class;
determining a second score, specifically comprising:
determining a gate class to which the target electronic evidence belongs as a target gate class;
and determining a second score according to the scoring rule corresponding to the target gate class.
6. The method according to claim 5, wherein a plurality of score intervals corresponding to the door classes are set in advance for each door class, and the authenticity reference level corresponding to the score interval is set for each score interval corresponding to the door class; aiming at any two score intervals, the authenticity reference grade corresponding to the score interval with the larger left-end point value is higher;
the method further comprises the following steps:
determining a score interval in which the authenticity reference score corresponding to the target electronic evidence falls in the score interval corresponding to the target gate class as a target score interval;
and determining the authenticity reference grade corresponding to the target score interval as the authenticity reference grade corresponding to the target electronic evidence.
7. The method of claim 6, further comprising:
for any door
Aiming at each electronic evidence belonging to the gate class, acquiring an authenticity credibility level corresponding to the electronic evidence; the authenticity credibility level corresponding to the electronic evidence is determined by a judicial program;
screening out electronic evidences with the authenticity reference level inconsistent with the authenticity credibility level from the electronic evidences belonging to the door class to serve as designated electronic evidences;
if the proportion of the appointed electronic evidence in the electronic evidence belonging to the gate is larger than the appointed proportion, the grading rule and/or the score interval corresponding to the gate is adjusted according to the authenticity credibility grade corresponding to each appointed electronic evidence, so that the authenticity reference grade corresponding to the appointed electronic evidence obtained according to the regulated grading rule and/or score interval corresponding to the gate is consistent with the authenticity credibility grade corresponding to the appointed electronic evidence.
8. The method according to claim 1, wherein determining a second score as a plausibility reference score corresponding to the target electronic evidence specifically includes:
judging whether the target electronic evidence is stored by a non-alternative block chain evidence storage platform appointed by a user;
if so, determining a third score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence;
otherwise, determining a second score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence;
wherein the third score is greater than the second score and the third score is less than the first score.
9. An apparatus for identifying evidence authenticity based on blockchain evidence preservation, predesignating at least two alternate blockchain evidence preservation platforms, the apparatus comprising:
the judging module is used for judging whether the target electronic evidence is stored by at least one alternative block chain evidence storing platform or not according to the target electronic evidence;
the first processing module is used for determining a first score as an authenticity reference score corresponding to the target electronic evidence if the judging module determines that the target electronic evidence is stored by at least one alternate block chain evidence storage platform;
the second processing module is used for determining that the score larger than the designated score is a second score when determining that the designated condition is met if the judging module determines that the target electronic evidence is not stored by the at least one alternate block chain evidence storage platform, and determining that the designated score is a second score when determining that the designated condition is not met, wherein the second score is used as an authenticity reference score corresponding to the target electronic evidence; the specified condition represents that the original electronic evidence inconsistent with the target electronic evidence version is stored by a candidate block chain evidence storage platform;
the authenticity reference score corresponding to the target electronic evidence is positively correlated with the identified authenticity degree of the target electronic evidence, and the first score is larger than the second score;
determining that a specified condition is satisfied, including: determining the electronic evidence which is most similar to the target electronic evidence in the electronic evidence stored in the candidate block chain platform aiming at each candidate block chain evidence storage platform as the similar electronic evidence corresponding to the target electronic evidence; calculating the similarity between the target electronic evidence and the similar electronic evidence to serve as the similarity corresponding to the target electronic evidence; the greater the similarity corresponding to the target electronic evidence, the more similar the target electronic evidence is to the similar electronic evidence; selecting the maximum similarity from the similarities corresponding to the target electronic evidence to serve as the maximum similarity; and if the maximum similarity is greater than the specified similarity, determining that the specified condition is met.
10. The apparatus according to claim 9, wherein the determining module obtains a target electronic evidence uploaded by a user; calculating the evidence hash of the target electronic evidence according to the target electronic evidence; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the evidence hash so as to determine whether any transaction of the alternative block chain evidence storing platform evidence storing comprises the evidence hash; if yes, determining that the target electronic evidence is stored by the alternate block chain evidence storage platform; otherwise, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
11. The apparatus of claim 9, the determining module to obtain a target transaction hash uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform; if yes, taking the transaction hash as the target transaction, determining the electronic evidence of the target transaction deposit certificate as the target electronic evidence, and determining that the target electronic evidence is deposited by the alternate block chain deposit certificate platform; and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
12. The device of claim 9, wherein the determining module obtains a target electronic evidence and a target transaction hash uploaded by a user; for each alternative block chain evidence storing platform, inquiring the alternative block chain evidence storing platform according to the target transaction hash so as to judge whether the transaction hash is the transaction of the target transaction hash in the transactions recorded by the alternative block chain evidence storing platform; if yes, taking the transaction hash as the target transaction, judging whether the electronic evidence of the target transaction certificate is the same as the target electronic evidence, if yes, determining that the target electronic evidence is already stored by the alternate block chain certificate storage platform, and if not, determining that the target electronic evidence is not stored by the alternate block chain certificate storage platform; and if the target electronic evidence does not exist, determining that the target electronic evidence is not stored by the alternate block chain evidence storage platform.
13. The device of claim 9, presetting a plurality of door classes, and setting a scoring rule corresponding to each door class;
the first processing module is used for determining a gate class to which the target electronic evidence belongs as a target gate class; determining a first score or a second score according to a scoring rule corresponding to the target gate class;
the second processing module is used for determining a gate class to which the target electronic evidence belongs as a target gate class; and determining a second score according to the scoring rule corresponding to the target gate class.
14. The apparatus of claim 13, wherein a plurality of score intervals corresponding to each gate are set in advance for each gate, and an authenticity reference level corresponding to each score interval corresponding to each gate is set; aiming at any two score intervals, the authenticity reference grade corresponding to the score interval with the larger left-end point value is higher;
the device further comprises:
the grade evaluation module is used for determining a score interval into which the authenticity reference score corresponding to the target electronic evidence falls in the score interval corresponding to the target gate class as a target score interval; and determining the authenticity reference grade corresponding to the target score interval as the authenticity reference grade corresponding to the target electronic evidence so that the authenticity reference grade corresponding to the specified electronic evidence is consistent with the authenticity credibility grade corresponding to the specified electronic evidence according to the adjusted grading rule corresponding to the gate and/or the score interval.
15. The apparatus of claim 14, the apparatus further comprising:
the adjusting module is used for acquiring the authenticity credibility level corresponding to each electronic evidence belonging to any door class aiming at each electronic evidence belonging to the door class; the authenticity credibility level corresponding to the electronic evidence is determined by a judicial program; screening out electronic evidences with the authenticity reference level inconsistent with the authenticity credibility level from the electronic evidences belonging to the door class to serve as designated electronic evidences; and if the proportion of the specified electronic evidence in the electronic evidence belonging to the gate is greater than the specified proportion, adjusting the scoring rule and/or the score interval corresponding to the gate according to the authenticity credibility grade corresponding to each specified electronic evidence.
16. The apparatus of claim 9, the second processing module to determine whether the target electronic proof has been credited by a user-specified non-alternate blockchain credentialing platform; if so, determining a third score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence; otherwise, determining a second score corresponding to the target electronic evidence as an authenticity reference score corresponding to the target electronic evidence; wherein the third score is greater than the second score and the third score is less than the first score.
17. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method of any one of claims 1 to 8.
CN201810955485.8A 2018-08-21 2018-08-21 Method and device for identifying authenticity of evidence based on block chain evidence storage Active CN109345061B (en)

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TW108108449A TWI700606B (en) 2018-08-21 2019-03-13 Method, device and computer equipment for identifying authenticity of evidence based on blockchain deposit
EP19853116.2A EP3779816A4 (en) 2018-08-21 2019-05-29 Method and device for recognizing validity of evidence based on blockchain evidence deposition
PCT/CN2019/089000 WO2020038036A1 (en) 2018-08-21 2019-05-29 Method and device for recognizing validity of evidence based on blockchain evidence deposition
SG11202010508VA SG11202010508VA (en) 2018-08-21 2019-05-29 Method And Apparatus For Determining Evidence Authenticity Based On Blockchain Ledger
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